A New Model for Keyhole Mode Laser Welding Using FLUENT

Mohanty, Sankhya; Laldas, Chandan Kumar; Roy, Gour Gopal

doi:10.1007/s12666-012-0151-8

Cited by 10 publications

(3 citation statements)

References 8 publications

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“…Due to the complex nature of the laser welding process and the parameters involved in it, the numerical simulations are thereby desired for elucidating the joining process [13][14][15][16]. Past studies that modeled the laser welding process have aimed to predict the effects of the laser welding process on the resulting welded joints [16][17][18][19][20]. FE (finite element) simulation software such as ABAQUS, ANSYS, FLUENT, etc., has been used for 2D or 3D analysis of welding processes in different studies [17][18][19][20].…”

Section: Introductionmentioning

confidence: 99%

“…Past studies that modeled the laser welding process have aimed to predict the effects of the laser welding process on the resulting welded joints [16][17][18][19][20]. FE (finite element) simulation software such as ABAQUS, ANSYS, FLUENT, etc., has been used for 2D or 3D analysis of welding processes in different studies [17][18][19][20]. COMSOL [21,22] is one of the comparatively newer multiphysics software that can simulate the dynamics of the welding process.…”

Section: Introductionmentioning

confidence: 99%

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Prediction of Transient Temperature Distributions for Laser Welding of Dissimilar Metals

Ghosh

Sen²,

Chattopadhyaya

et al. 2021

Applied Sciences

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Distribution of temperature during the welding process is essential for predicting and realizing some important welding features such as microstructure of the welds, heat-affected zone (HAZ), residual stresses, and their effects. In this paper, a numerical model was developed using COMSOL Multiphysics of dissimilar laser welding (butt joint) of AISI 316L and Ti6Al4V thin sheet of 2.5 mm thickness. A continuous mode (CW) fiber laser heat source of 300W laser power was used for the present study. A time-dependent prediction of temperature distributions was attempted. The heat source was assumed as a Hermit–Gaussian analytical function with a moving velocity of 120 mm/min. Both convective and radiant heat loss and phase change of the materials were considered for the analysis. In addition, variation of temperature-dependent material properties was also considered. The maximum and minimum temperature for the two materials at different times and the temperature in the different penetration depths were also predicted. It was found that the average temperature that can be achieved in the bottom-most surface near the weld line was more than 2400K, which justifies the penetration. Averages of maximum temperatures on the weld line at different times at the laser spot irradiation were identified near 3000K.The temperature fluctuation near the weld line was minimal and decreased more in the traverse direction. Scanning with a displaced laser relative to the interface toward the Ti6Al4V side reduces the maximum temperature at the interface and the HAZ of the 316L side. All of these predictions agree well with the experimental results reported in current literature studies.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Prediction of Transient Temperature Distributions for Laser Welding of Dissimilar Metals

Ghosh

Sen²,

Chattopadhyaya

et al. 2021

Applied Sciences

View full text Add to dashboard Cite

show abstract

“…The numerical results showed that stress peaks exist along the joining interfaces due to mismatch in thermal and mechanical properties of materials. Mohanty et al 29 simulated keyhole mode laser welding. This model could predict the weld bead profile encompassing a wide range of materials under different operating conditions.…”

Section: Introductionmentioning

confidence: 99%

Laser brazing of 321 and 410 stainless steels with AMS 4777 filler metal: Experimental and numerical study

Khorram

2018

Proceedings of the Institution of Mechanical Engineers, Part B:

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321 and 410 stainless steels were brazed using 400 W pulsed Nd:YAG laser source with AMS 4777 filler metal for various joint clearances. Optical microscopy and scanning electron microscopy were used to study the microstructure of all specimens. Mechanical properties (microhardness and tensile test) of all specimens were evaluated. The wetting, spreading, and flowing of AMS 4777 filler metal on substrates during this process were modeled using finite volume model. The equations of conservation of mass, conservation of momentum, and conservation of energy were solved in FLUENT software for calculating volume fraction and liquid fraction. AMS 4777 filler metal shows excellent wettability on the 321 and 410 stainless steels. The filler metal and specimens mainly consist of nickel solid solution (Ni), chromium boride (CrB), and nickel boride (Ni3B). The average microhardness for specimens in seam is 492 HV. The tensile strength of specimens changes from 200 up to 480 MPa due to various joint clearances. The higher tensile strength of 321 stainless steel specimens in comparison with 410 stainless steel specimens is due to less wetting angle and more spreading width of filler metal. The simulated results show that this model can be used for predicting geometry of joints at various joint clearances.

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Numerical and experimental study of flowing and spreading of silver-based filler metal droplet on different substrates during laser brazing process

Khorram

Ghoreishi

2015

Int J Adv Manuf Technol

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A New Model for Keyhole Mode Laser Welding Using FLUENT

Cited by 10 publications

References 8 publications

Prediction of Transient Temperature Distributions for Laser Welding of Dissimilar Metals

Prediction of Transient Temperature Distributions for Laser Welding of Dissimilar Metals

Laser brazing of 321 and 410 stainless steels with AMS 4777 filler metal: Experimental and numerical study

Numerical and experimental study of flowing and spreading of silver-based filler metal droplet on different substrates during laser brazing process

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